Triple
T20767725
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bode River |
E511141
|
entity |
| Predicate | hasTributary |
P415
|
FINISHED |
| Object | Warme Bode |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Warme Bode | Statement: [Bode River, hasTributary, Warme Bode]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Warme Bode Context triple: [Bode River, hasTributary, Warme Bode]
-
A.
Warme Bode
chosen
Warme Bode is a river in the Harz Mountains of central Germany, known for flowing through forested valleys and feeding into the Bode river system.
-
B.
Waremme
Waremme is a municipality and town in the Walloon Region of Belgium, known as a local administrative and commercial center in the Province of Liège.
-
C.
Mr. Warmth
Mr. Warmth is the ironic nickname of legendary American insult comedian and actor Don Rickles, famed for his sharp wit and acerbic put-downs.
-
D.
Warmbrodt
Warmbrodt is a surname most notably associated with Sara Sothern, the American stage actress and mother of film star Elizabeth Taylor.
-
E.
Warme
Warme is a small river in the German state of Hesse that serves as a tributary of the Diemel.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e0b4ca01148190ac018e57e0cab46f |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c24df58c8190b37398353ce4bf24 |
completed | April 21, 2026, 12:18 a.m. |
Created at: April 16, 2026, 12:36 p.m.